
\begin{table}[ht!]
\begin{center}
\begin{tabular}{l c c c c}
\toprule
 & Model 1 & Model 2 & Model 3 & Model 4 \\
\midrule
Black                      & $-0.35^{*}$  & $-0.46^{**}$  & $-0.39^{*}$  & $-0.37^{*}$    \\
                           & $(0.17)$     & $(0.17)$      & $(0.17)$     & $(0.17)$       \\
Hispanic                   & $0.05$       & $0.12$        & $0.04$       & $0.04$         \\
                           & $(0.13)$     & $(0.14)$      & $(0.14)$     & $(0.14)$       \\
Asian/AI/AN/PI             & $0.30$       & $0.40^{*}$    & $0.31$       & $0.27$         \\
                           & $(0.16)$     & $(0.20)$      & $(0.18)$     & $(0.20)$       \\
Closest Trauma (10s miles) & $0.18^{**}$  & $0.09$        & $0.19^{**}$  & $0.21^{*}$     \\
                           & $(0.06)$     & $(0.09)$      & $(0.07)$     & $(0.09)$       \\
Houston                    & $-0.06$      &               & $-0.04$      & $14.75^{***}$  \\
                           & $(0.45)$     &               & $(0.44)$     & $(0.42)$       \\
King County                & $0.10$       &               & $0.08$       & $14.31^{***}$  \\
                           & $(0.54)$     &               & $(0.53)$     & $(1.24)$       \\
Los Angeles                & $0.72$       &               & $0.73$       & $15.78^{***}$  \\
                           & $(0.44)$     &               & $(0.43)$     & $(0.20)$       \\
Orlando                    & $0.33$       &               & $0.32$       & $14.98^{***}$  \\
                           & $(0.50)$     &               & $(0.48)$     & $(0.51)$       \\
San Jose                   & $0.21$       &               & $0.22$       & $14.89^{***}$  \\
                           & $(0.48)$     &               & $(0.47)$     & $(0.89)$       \\
Seattle                    & $0.78$       &               & $0.75$       & $15.72^{***}$  \\
                           & $(0.48)$     &               & $(0.47)$     & $(0.37)$       \\
Tucson                     & $0.91^{*}$   &               & $0.86^{*}$   & $16.10^{***}$  \\
                           & $(0.46)$     &               & $(0.44)$     & $(0.19)$       \\
2011                       &              & $0.24$        & $0.15$       & $0.42^{*}$     \\
                           &              & $(0.20)$      & $(0.18)$     & $(0.16)$       \\
2012                       &              & $0.12$        & $0.14$       & $16.43^{***}$  \\
                           &              & $(0.22)$      & $(0.19)$     & $(0.19)$       \\
2013                       &              & $0.17$        & $0.13$       & $15.44^{***}$  \\
                           &              & $(0.22)$      & $(0.20)$     & $(0.66)$       \\
2014                       &              & $0.31$        & $0.28$       & $14.47^{***}$  \\
                           &              & $(0.23)$      & $(0.21)$     & $(0.99)$       \\
2015                       &              & $0.10$        & $0.12$       & $15.99^{***}$  \\
                           &              & $(0.22)$      & $(0.20)$     & $(0.51)$       \\
2016                       &              & $0.06$        & $0.13$       & $0.49$         \\
                           &              & $(0.23)$      & $(0.20)$     & $(0.53)$       \\
2017                       &              & $-0.06$       & $-0.05$      & $0.77$         \\
                           &              & $(0.28)$      & $(0.25)$     & $(0.97)$       \\
Intercept                  & $-1.34^{**}$ & $-0.85^{***}$ & $-1.46^{**}$ & $-16.42^{***}$ \\
                           & $(0.45)$     & $(0.21)$      & $(0.46)$     & $(0.04)$       \\
\midrule
pseudo.r.squared           & $0.04$       & $0.02$        & $0.05$       & $0.07$         \\
nobs                       & $1250$       & $1250$        & $1250$       & $1250$         \\
AIC                        & $2018.26$    & $2060.79$     & $2027.46$    & $2065.62$      \\
BIC                        & $2079.84$    & $2122.36$     & $2124.95$    & $2378.60$      \\
Log Likelihood             & $-997.13$    & $-1018.39$    & $-994.73$    & $-971.81$      \\
\bottomrule
\multicolumn{5}{l}{\scriptsize{$^{***}p<0.001$; $^{**}p<0.01$; $^{*}p<0.05$}}
\end{tabular}
\caption{Estimated relationship between civilian race and probability of fatality conditional upon being involved in an officer-involved shooting. Cells show Poisson coefficients with clustered-robust standard errors. Omitted category is white civilians, Charlotte and the year 2010.}
\label{tab:poisson_FE}
\end{center}
\end{table}
